Fachbereich Informatik

List of Courses for the Master ML in the Summer Semester 2026 (Foundations of ML and Diverse Topics in ML) - Still subject to potential changes

Foundations of Machine LearningLecturer
Probabilistic Machine LearningMacke
Statistical Machine LearningLuxburg

 

Diverse Topics in Machine Learning - Lectures

 
Machine Learning of Single Cell DynamicsClaassen
Mobile RobotsZell
Hands-on AI based 3D VisionPons-Moll
Neural Data ScienceBerens
Natural Language ProcessingEickhoff
Bayesian Networks and CausalityRueckschloss/Eckstein
Video AnalyticsKuehne
AI SafetyAbdelnabi/Andriushchenko/Geiping
Buisness & AI: A Cross-Functional Buisness Innovation challengeGehler
Understanding LLMsFranke/Eickhoff
  

 

Diverse Topics in Machine Learning - Seminars

 
Machine Learning for HealthPfeifer
LLM Inference OptimizationGeiping
Advanced Topics in Computergraphics and Computer VisionLensch
Advanced Topics in Reinforcement Learning
Martius
Machine Learning in BiomedicinePfeifer
Advances in Multimodal LearningKuehne
Machine Learning in Translational Single-Cell BiologyClaassen
AI for Scientific Discovery IIKrenn
Machine Learning Methods for Scientific DiscoveryMacke
LLM-assisted Cohort Discovery in Clinical TrialsGhosh
Ethics and Philosophy of Machine LearningWilliamson/Zezulka
  
Diverse Topics in Machine Learning - Practice 
Mobile RobotsZell
Advances in Multimodal LearningKühne
Machine Learning in Graphics, Vision, and LanguageLensch